Telecom Intelligence
Network Performance & Risk
Availability, congestion, outages and network risk exposure.
Executive summary
Capacity utilisation is high in urban areas. Source unavailable for other figures.
Key indicators
Data throughput
18.4 Mbps
+3.1%vs stored prior
Issues requiring attention
Johannesburg CBD cluster availability 98.9% (target 99.7%)
high prioritySLA penalty exposure $0.6M; churn driver
Owner: CTO
Drill downUrban congestion
medium priorityBusy-hour utilisation > 90% on 86 sites.
Owner: Head of Planning
Drill downPerformance analysis
Network availability (%)
Monthly actuals, Apr–Sep
Outage root causes (%)
Source unavailable — this breakdown has no stored record.
Actual vs prior and target
Current period, KPIs measured in %
Prior periodActualTarget
Network availability trend
Network availability by month, Apr–Sep (%)
AI Advisory
- Capacity expansion on top-20 churn cells
- Battery and generator upgrade on 14 CBD sites
Value realization
| Metric / outcome | Value type | Baseline → target KPI | Expected | Actual | Variance | Realization | Status |
|---|---|---|---|---|---|---|---|
SLA penalty avoidance (CBD) FY2026 · CTO | Loss avoided | 98.9 → 99.7 KPI for: SLA penalty avoidance (CBD) | USD 600kConditional projection · Method unavailable | Unavailable | Not verified | Not verified | At risk |
Evidence
214 sites forecast to exceed 85% utilisation within 90 days.
Source: OSS network data (illustrative model output)
Methodology
- Aggregate availability and KPIs from network counters
- Classify outages by root cause
- Score sites by risk and revenue exposure